Knowledge Creation and Sharing

2007 ◽  
pp. 159-177
Author(s):  
P. Bednar ◽  
C. Welch
Keyword(s):  
Complex Analysis ◽  
Problem Situation ◽  
Human Beings ◽  
Software Support ◽  
Organizational Environments ◽  
Strategic Intelligence ◽  
Mathematical Algorithms ◽  
Personal Histories ◽  
Knowledge Creation And Sharing ◽  
Complex Methods

Strategic intelligence involves examination of internal and external organizational environments. Of course people inhabited each of these environments. Whether they are customers, allies or employees, these are not standardized units but real human beings with personal histories, perspectives, and opinions. Recent research and practice have led to the development of relatively complex methods for inquiry which can be applied by human analysts and which recognize contextual dependencies in a problem situation. One such method, the strategic systemic thinking framework, is outlined in this chapter. The purpose of complex analysis in relation to strategic intelligence is not, in our perspective, decision-making—it is developing an ability to make informed decisions. Until software tools could not support recently complex methods, since the limitations of traditional mathematical algorithms constrained their development. We suggest a model, which lays the foundations for the development of software support and can tolerate the inherent ambiguity in complex analysis, based on paraconsistent (multivalued) mathematical logic.

A Methodology to Improve the Decision-Making Process

2018 ◽  
Vol 9 (1) ◽  
pp. 59-81 ◽  
Author(s):  
Christopher Nikulin ◽  
Paulina Solis ◽  
Mónica López-Campos
Keyword(s):  
Decision Making ◽  
Complex Analysis ◽  
Decision Making Process ◽  
Real Problem ◽  
Good Representation ◽  
Problem Situation ◽  
Simple Task ◽  
Analytical Skills ◽  
Modeling Process

The modeling approach is relevant to support the decision-making process. Modeling requires a structured approach, knowledge and specific analytical skills in order to obtain an appropriate representation of the situation under analysis. Nevertheless, creating a good representation of the reality is not a simple task; it is not trivial to choose an analysis approach since most of decision-makers could have partial lacks information during the different stages of the modeling process. Considering this, we propose a methodology to support the decision-making process by using a novel structured integration of different quantitative and qualitative tools, such as system dynamics, decision theory and the theory of inventive problem solving (TRIZ), in order to simplify the modeling process in complex analysis. A case study attempts to illustrate the application of the methodology in a real problem situation, related to the analysis of disasters within the boundaries of Valparaíso City, specifically fires.

From Information Management to Knowledge Management: Beyond the "Hi-Tech Hidebound" Systems

2001 ◽  
pp. 115-134 ◽  
Author(s):  
Yogesh Malhotra
Keyword(s):  
Knowledge Management ◽  
Information Management ◽  
Information Technologies ◽  
Meaning Making ◽  
Knowledge Management Systems ◽  
Human Beings ◽  
Discontinuous Change ◽  
Organizational Environments ◽  
New Information ◽  
Current Thinking

Most extant knowledge management systems are constrained by their overly rational, static and a contextual view of knowledge. Effectiveness of such systems is constrained by the rapid and discontinuous change that characterizes new organizational environments. The prevailing knowledge management paradigm limits itself by its emphasis on convergence and consensus-oriented processing of information. Strategy experts have underscored that the focus of organizational knowledge management should shift from 'prediction of future' [that cannot be computed] to 'anticipation of surprise.' Such systems may be enabled by leveraging the divergent interpretations of information based upon the meaning-making capability of human beings. By underscoring the need for synergy between innovation and creativity of humans and the advanced capabilities of new information technologies, this chapter advances current thinking about knowledge management.

scholarly journals Supranational Networks: States and Firms

2006 ◽  
Author(s):  
Alvin Wolfe
Keyword(s):  
Multinational Firms ◽  
Network Models ◽  
Nation State ◽  
Human Beings ◽  
Nation States ◽  
Mathematical Algorithms ◽  
Single Complex ◽  
Supranational Level ◽  
Different Levels ◽  
New System

The nation-state systems that seem to dominate the global landscape are not necessarily the pinnacle of evolution. A conglomeration of interacting factors spelled doom for the traditional colonialism of previous centuries while providing an ideal environment for multinational firms operating above the level of nation-states to play an important role in the generation of a new politico-socio-economic system better described by network models than by ordinary political models. Previously existing units and subunits, in the course of adjustment and adaptation to changing circumstances, change their relations with one another and are, sometimes, newly integrated in a novel manner such that new units or subunits are recognizable. It is puzzling that most scholars still see these changes as merely quantitative growth rather than as a qualitatively new system at a supranational level of integration. Because human beings start from concepts we already know, one really has to be strongly motivated to try to go beyond the cognitive concepts one uses regularly to attempt to conceive of something different. In the perspective of millions of years of evolution both states and business firms are relatively recent emergents out of the processes of adaptation that generate all social formations. Both business firms and nation states are kinds of corporations, and it is a mistake to deal separately with the international network of states when it seems perfectly obvious that the supranational system includes interacting states and corporations in a single complex network. Most countries are not "natural" nation-states, but are corporations whose control over some territory is recognized by some other states. States and companies should be treated similarly in analysis of the supranational system and the best model for studying the supranational system is a network model that begins with defining units and their relationships. In that mode, applying various mathematical algorithms, one can find clusters and equivalence sets representing different levels of organization in the network. At the same time as states are influencing firms, firms are busily influencing states.

Changing Scenario From Information Management to Knowledge Management

2018 ◽  
pp. 224-254
Author(s):  
R. Natarajan
Keyword(s):  
Knowledge Management ◽  
Information Management ◽  
Information Technologies ◽  
Meaning Making ◽  
Knowledge Management Systems ◽  
Human Beings ◽  
Discontinuous Change ◽  
Organizational Environments ◽  
New Information ◽  
Current Thinking

Most extant knowledge management systems are constrained by their overly rational, static and a contextual view of knowledge. Effectiveness of such systems is constrained by the rapid and discontinuous change that characterizes new organizational environments. The prevailing knowledge management paradigm limits itself by its emphasis on convergence and consensus-oriented processing of information. Strategy experts have underscored that the focus of organizational knowledge management should shift from ‘prediction of future' (that cannot be computed) to ‘anticipation of surprise.' Such systems may be enabled by leveraging the divergent interpretations of information based upon the meaning-making capability of human beings. By underscoring the need for synergy between innovation and creativity of humans and the advanced capabilities of new information technologies, this article advances current thinking about knowledge management.

scholarly journals Narration and Historiography in McEwan’s Selected Novels

2015 ◽  
Vol 51 ◽  
pp. 42-56
Author(s):  
Maryam Sedaghat
Keyword(s):  
Present Situation ◽  
Human Beings ◽  
Self Reflection ◽  
Personal Histories ◽  
Change Of Perspective ◽  
Rewriting History

As we saw in these three novels rewriting history may bring change of perspective, ideology and moral awakening for the reader. Linearity of history is challenged through depicting fragmented and multi-voiced personal histories. Historical traumas, although painful, bring an opportunity for revision and correction of our deeds. Without them human beings become complacent and immoral. For McEwan, writing about historical traumas is a solution to make historical traumas unforgettable and reminded to help us deal with our present situation which is vulnerable, violent and traumalogical. In these novels, self-reflection and self-transformation happens through writing about history

Rate of Absorption of Water from Stomach and Small Bowel of Human Beings

1954 ◽  
Vol 27 (5) ◽  
pp. 565-577 ◽  
Author(s):  
John F. Scholer ◽  
Charles F. Code
Keyword(s):  
Small Bowel ◽  
Human Beings ◽  
Rate Of Absorption

A Study of the Action of Prostigmine on the Bowel of Human Beings

1949 ◽  
Vol 12 (6) ◽  
pp. 970-977 ◽  
Author(s):  
John M. McMahon ◽  
Charles F. Code ◽  
Willtam G. Saver ◽  
J. Arnold Bargen
Keyword(s):  
Human Beings

Constructing and Deconstructing Concepts

2016 ◽  
Vol 63 (5) ◽  
pp. 249-262 ◽  
Author(s):  
Charles A. Doan ◽  
Ronaldo Vigo
Keyword(s):  
Information Theory ◽  
Model Performance ◽  
Unsupervised Classification ◽  
Family Resemblance ◽  
Category Membership ◽  
Formal Models ◽  
Human Beings ◽  
One Dimensional ◽  
Relational Patterns ◽  
Optimal Classification

Abstract. Several empirical investigations have explored whether observers prefer to sort sets of multidimensional stimuli into groups by employing one-dimensional or family-resemblance strategies. Although one-dimensional sorting strategies have been the prevalent finding for these unsupervised classification paradigms, several researchers have provided evidence that the choice of strategy may depend on the particular demands of the task. To account for this disparity, we propose that observers extract relational patterns from stimulus sets that facilitate the development of optimal classification strategies for relegating category membership. We conducted a novel constrained categorization experiment to empirically test this hypothesis by instructing participants to either add or remove objects from presented categorical stimuli. We employed generalized representational information theory (GRIT; Vigo, 2011b , 2013a , 2014 ) and its associated formal models to predict and explain how human beings chose to modify these categorical stimuli. Additionally, we compared model performance to predictions made by a leading prototypicality measure in the literature.

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